Revista Internacional de Economia e Ciências de Gestão

The Forex Market in Practice: A Computing Approach for Automated Trading Strategies

Abstract

Crescenzio Gallo

Prediction of various market indicators is an important issue in finance. This can be accomplished through computer models and related applications. It turned out that artificial models have both great advantages and some limitations for learning the data patterns and predicting future values of the financial phenomenon under analysis. In this paper we analyze the particular financial market called Forex and the way computing models are used to automate trading strategies by making affordable predictions on the evolution of exchange rates between currencies.